8 months ago
A powerful MCP server for AI-generated code execution (run Python or JavaScript securely with full support for any npm or PyPI package) and custom MCP tools building (write your own business logic and configurable input parameters).
Overview
📌 YepCode MCP Server — Summary
YepCode MCP Server is a powerful integration layer that connects AI platforms (like Cursor, Claude Desktop, or custom LLM tools) with YepCode’s cloud infrastructure via the Model Context Protocol (MCP).
🔧 Main Use Cases
- Run AI-generated code securely: Execute Python or JavaScript code, with full npm and PyPI dependency support, inside YepCode’s isolated, production-ready sandboxes. See our playground for more details.
- Turn YepCode processes into AI tools: Expose your existing YepCode processes — with all your business logic and input parameters — as MCP tools that AI assistants can call in real-time. Here you have a demo video.
- Manage environments dynamically: Set, update, or remove environment variables within your YepCode workspace programmatically via AI tools.
- Track and retrieve executions: Easily monitor, log, and fetch results from any code or process execution.
🎯 Key Benefits for Users
- Seamless AI integration — Connect AI systems with your existing workflows effortlessly, with no extra configuration.
- Enterprise-grade security — All executions run in YepCode’s secure, isolated infrastructure.
- Flexible deployment — Run the MCP server remotely via YepCode Cloud or locally via NPX or Docker.
- Real-time control & monitoring — Execute, track, and retrieve process outcomes programmatically.
- AI-friendly tools — Convert custom processes and workflows into AI-usable tools instantly via simple tagging.
Server Config
{
"mcpServers": {
"yepcode-mcp-server-stdio": {
"command": "npx",
"args": [
"-y",
"@yepcode/mcp-server"
],
"env": {
"YEPCODE_API_TOKEN": "your_api_token_here"
}
}
},
"yepcode-mcp-server-sse": {
"url": "https://cloud.yepcode.io/mcp/sk-c2E....RD/sse"
}
}